Abstract

With the growing concerns regarding the amount of energy consumption, the manufacturing sector is considered to play a significant role because of the large amount of consumed energy in the sector. As a result, a reliable and precise estimation model of energy consumption that can reflect various machining states is required. An improved energy consumption model that can effectively reflect the relationship between processing parameters (spindle speed, feed rate, and depth of cut) and energy consumption in a mechanical machining process based on empirical modeling is proposed in this paper. Additionally, the physical meanings of the model coefficients are given, making it easier to interpret the model while also being helpful to both manufacturers and designers to achieve sustainable manufacturing. By comparing the energy requirement obtained by the proposed SEC model with the results of the experiments and previous studies, it can be concluded that the proposed model can calculate the total energy requirement in the machining process accurately under various processing parameters. The good fit between simulations and experimental data effectively indicate that the SEC model we proposed can be used to predict the total energy requirement in the mechanical machining process.